Axiometrics: An Axiomatic Approach to Information Retrieval Effectiveness Metrics

  • Authors:
  • Luca Busin;Stefano Mizzaro

  • Affiliations:
  • Department of Maths and Computer Science, University of Udine, Udine, Italy;Department of Maths and Computer Science, University of Udine, Udine, Italy

  • Venue:
  • Proceedings of the 2013 Conference on the Theory of Information Retrieval
  • Year:
  • 2013

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Abstract

The evaluation of retrieval effectiveness has played and is playing a central role in Information Retrieval (IR). A specific issue is that there are literally dozens (most likely more than one hundred) IR effectiveness metrics, and counting. In this paper we propose an axiomatic approach to IR effectiveness metrics. We build on the notions of measure, measurement, and similarity; they allow us to provide a general definition of IR effectiveness metric. On this basis, we then propose and justify some axioms that every effectiveness metric should satisfy, and we derive some theorems from the axioms. We also discuss some future developments.